The invention relates to an exoskeleton for assisting human movement, which can be fitted to the user in terms of dimensions, tension and ranges of joint motion, either manually or automatically. The exoskeleton can be fitted to the user in the anteroposterior direction in the sagittal plane, with the user in a horizontal or sitting position, without requiring a functional transfer. The exoskeleton has a modular design which is compatible with human biomechanics and reproduces a natural and physiological movement in the user, with up to 7 actuated and controlled degrees of movement per limb, ensuring that the user maintains equilibrium during locomotion.

A multimodal human-robot interaction system for compensation movement of a hemiplegic upper limb includes a compensation monitoring module, a compensation evaluation module and a compensation reducing module. The compensation reducing module includes a robot and a virtual reality system. The robot assists the hemiplegic upper limb in performing rehabilitation training, and adjusts a training action according to a compensation monitoring result and evaluation of compensation to realize passive reducing of compensation movement of the hemiplegic upper limb. The compensation monitoring module acquires data during a rehabilitation therapy. The compensation evaluation module processes and analyzes comprehensive data of the hemiplegic upper limb to obtain the evaluation of compensation. The virtual reality system displays a rehabilitation training scene, a real-time movement posture of the hemiplegic upper limb and the evaluation of compensation and instructs a patient to reduce the compensation movement using visual display and voice feedback.

When controlling load torque of a drive unit on the basis of a biological signal detected from a subject's lower limb parts, adjustments are made to a hybrid ratio of voluntary control to generate running torque and a rotational speed of a crank according to the subject's intention and autonomous control to generate assisting power for the subject's pedaling motion on the basis of a rotation angle of the crank.

An active orthotic device, e.g. a hand orthosis, is attached to one or more limbs of a human subject and comprises a respective set of actuators (21) for moving a respective limb (1A) among the one or more limbs. A method for controlling the orthotic device comprises obtaining one or more bioelectric signals, [S(t)], from one or more bioelectric sensors (10) attached to or implanted in the human subject; processing the one or more bioelectric signals, [5(t)], for prediction of an intended application force, FA(t), of the respective limb (1A) onto an object; obtaining a force signal, PA(t), from a force sensing device (22) associated with the respective set of actuators (21) and/or the respective limb (1A); and generating, as a function of a momentary difference, e(t), between the intended application force, FA(t), and the force signal, PA(t), a respective set of control signals, it(t), for the respective set of actuators (21).

Systems, computer-implemented methods and/or computer program products that facilitate real-time response to defined symptoms are provided. In one embodiment, a computer-implemented method comprises: monitoring, by a system operatively coupled to a processor, a state of an entity; detecting, by the system, defined symptoms of the entity by analyzing the state of the entity; and transmitting, by the system, a signal that causes audio response or a haptic response to be provided to the entity, wherein transmission of the signal that causes the audio response or the haptic response is based on detection of the defined symptoms.

An oral therapy device structure and methods of utilizing said device are described. Embodiments of the oral therapy device structure include a top member and a bottom member, where the top member fits over at least a portion of the upper teeth of a user, and includes one or more partially embedded sensors. The bottom member fits over at least a portion of the bottom teeth of the user. A coupling structure physically joins a portion of the top member to a portion of the bottom member. A mandibular positioning drive (MPD) is at least partially embedded within the bottom member, where the MPD is capable of moving the bottom member from a first position to a second position.

An exoskeleton device is provided herein that includes a control unit including a controller. At least one embedded sensor is configured to acquire data. An actuator is in electrical communication with the at least one embedded sensor and the controller. The controller is configured to adjust a level of assistance or resistance provided by the actuator in response to a change in a performance metric as measured by the acquired data.

Methods and systems are disclosed for capturing sensor data collected by a personal massaging device with associated sensors, analyzing the data, determining biofeedback data based on the sensor data, and according to some embodiments generating a sexual response profile based on the biofeedback data and a model of human sexual response. Data may be collected and analyzed for a number of uses, including but not limited to: (1) studying human sexual response, (2) adjusting outputs of the personal massaging device based on preset conditions, (3) treating sexual dysfunction conditions, and (4) improving sexual experiences.

A device for stimulating neurons that includes a stimulation unit that applies mechanically tactile and/or thermal stimuli to the body surface of a patient that stimulate neurons with a pathologically synchronous and oscillatory neural activity. The device includes a measuring unit that records measurement signals of neural activity of the stimulated neurons, and a controller that controls the stimulation unit and analyzes the measurement signals. The controller actuates the stimulation unit to scan at least one part of the body surface of the patient along a path and thereby periodically applies stimuli and also selects two regions or more regions on the patient's body surface along the path where the phase synchronization between the periodic application of the stimuli and the neural activity of the stimulated neurons have a local maximum using the measurement signals. The stimuli are then applied in a delayed manner in the two regions.

An approximation method and system are provided for more quickly controlling a prosthetic or other device by reducing computational processing time in a muscle model that can be used to control the prosthetic. For a given muscle, the approximation method can quickly compute polynomial structures for a muscle length and for each associated moment arms, which may be used to generate a torque for a joint position of a physics model. The physics model, in turn, produces a next joint position and velocity data for driving a prosthetic. The approximation method expands the polynomial structures as long as expansion is possible and sufficiently beneficial. The computations can be performed quickly by expanding the polynomial structures in a way that constrains the muscle length polynomial to the moment arm polynomial structures, and vice versa.